Uploaded February 2026 | Updated September 2026, 2 weeks ago

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Join the architects of CUDA education for a live discussion on the best paths to mastering GPU computing. From foundational concepts to advanced optimization, learn how to leverage NVIDIA’s open-source resources to level up your code.

Featuring:
- Izzat El Hajj: Author, Programming Massively Parallel Processors
- Jonathan Bentz: CUDA Technical Marketing Manager
- Tony Scudiero: Author, CUDA Programming Guide
- Katrina Riehl: CUDA Education Lead

In this session, we will cover:
- The newly updated CUDA Programming Guide
- Demonstrations of the open-source Python and C++ Tutorials available in the Accelerated Computing Hub
- CUDA Deep Learning Institute courses
- A sneak peek into the upcoming release of Programming Massively Parallel Processors 5th ed.
- Live Q&A with our panel of CUDA educators and promoters